Results 91 to 100 of about 4,275 (207)
The maturity of simultaneous localization and mapping (SLAM) methods has now reached a significant level that motivates in-depth and problem-specific reviews.
Ali Ghadimzadeh Alamdari +2 more
doaj +1 more source
Voxel-SLAM: A Complete, Accurate, and Versatile LiDAR-Inertial SLAM System
In this work, we present Voxel-SLAM: a complete, accurate, and versatile LiDAR-inertial SLAM system that fully utilizes short-term, mid-term, long-term, and multi-map data associations to achieve real-time estimation and high precision mapping. The system consists of five modules: initialization, odometry, local mapping, loop closure, and global ...
Zheng Liu 0019 +9 more
openaire +2 more sources
Control System for the Navigation of the Agricultural Robots: A Review
ABSTRACT Control systems for the navigation of autonomous agricultural robots—particularly those operating in uneven terrain and in the presence of static or dynamic obstacles—have advanced considerably in recent years. As conventional machinery evolves toward increasingly automated systems, the design of reliable navigation controllers has become ...
Edna Carolina Moriones Polanía +3 more
wiley +1 more source
Simultaneous Localization and Mapping (SLAM) algorithms based on visual and light detection and ranging (LiDAR) technologies have shown remarkable capabilities in robot navigation, particularly for mapping and navigating unfamiliar environments. However,
Amirul Jamaludin +7 more
doaj +1 more source
ABSTRACT Tsunami deposits serve as geological records of past events and are essential for understanding the occurrence and dynamics of tsunamis. However, conventional research has largely focused on sandy and boulder deposits, leaving gravel‐dominated tsunami deposits comparatively underexplored; furthermore, their characteristics and formation ...
Hidetoshi Masuda +5 more
wiley +1 more source
Visual geo-localization using prior map of known environments has extensive applications in the fields such as self-driving, augmented reality and navigation. Currently, such prior maps are usually constructed by visual SLAM or SFM.
Zhiyuan Yang +13 more
doaj +1 more source
Abstract The intensification of wildland fires across portions of Canada in early June 2023 led to significant smoke transport into the eastern United States, resulting in poor air quality and reduced visibility. Significant degradation of air quality was evident from PM2.5 surface measurements as the smoke plume moved southwards, which was confirmed ...
Y. L. Pichugina +9 more
wiley +1 more source
EKF SLAM 2D MENGGUNAKAN LIDAR [PDF]
Agar dapat membantu pekerjaan dalam sistem pembuatan peta pada suatu ruangan yang memiliki tingkat bahaya yang tinggi, dibutuhkan sebuah robot yang dapat mengganti proses pembuatan peta. Sehingga robot tersebut harus memiliki sistem pemetaan 2D yang baik,
Sumantri Kurniawan Risandriya; Politeknik Negeri Batam +2 more
core
The accuracy analysis of the Visual-SLAM and LiDAR-SLAM methods: A case study [PDF]
Simultaneous Localisation and Mapping (SLAM) is a technique that allows a vehicle to determine its location and map its surroundings simultaneously.
Kaya, Emirhan +4 more
core +1 more source
A visual and visual‐inertial simultaneous localization and mapping (SLAM) algorithm, leveraging enhanced deep learning features and motion smoothness constraints, is proposed in this research work. This method retains the advantages of geometry‐based SLAM methods while effectively utilizing the powerful representational capabilities of data‐driven ...
Maosheng Jiang +3 more
wiley +1 more source

